2nd Edition
A Researcher's Guide to Using Electronic Health Records From Planning to Presentation
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- Available for pre-order on July 4, 2023. Item will ship after July 25, 2023
Free Shipping (6-12 Business Days)
shipping options
- Available for pre-order on July 4, 2023. Item will ship after July 25, 2023
In an age when electronic health records (EHRs) are an increasingly important source of population data, this is the essential textbook for any researcher using EHRs to conduct research and analysis.
Split into three parts, the book covers the whole research journey, beginning with the planning a research project, accessing and organizing EHR data, and the issues to be mindful of. The second part looks at the core research process, including sampling and analysis, measures of validity and statistical Inference. The final part introduces the presentation of a piece of research, its publication, and also includes a range of case studies.
Supported by examples and insights throughout, and applicable across a range of research software programs (R, SPSS and SAS), this is the ideal text for students and researchers engaging with EHR across epidemiological and clinical research.
Introduction
Chapter 1: The Rise of Electronic Health Records
Chapter 2: Concepts in Electronic Health Record Research
Section I: EHR Data for Research
Chapter 3: Planning for Electronic Health Record Research
Chapter 4: Accessing Electronic Health Record Data
Chapter 5: Data Management
Chapter 6: Perils of Electronic Health Record Data
Section II: Epidemiology and Data Analysis
Chapter 7: Study Design and Sampling Strategies
Chapter 8: Epidemiologic Measures
Chapter 9: Bias and Validity in Observational Research
Chapter 10: Epidemiologic Analysis I
Chapter 11: Epidemiologic Analysis II
Chapter 12: Advanced and Emerging Methods and Applications
Section III: Interpretation to Application
Chapter 13: Publication and Presentation
Chapter 14: Applications of Electronic Health Record Research
Chapter 15: Case Studies in Electronic Health Record Research
Appendices
Appendix 1: Secondary Data Research Planner
Appendix 2: Example Code using R
Biography
Neal D. Goldstein, PhD, MBI is an Associate Professor of Epidemiology at the Drexel University Dornsife School of Public Health. With a background in biomedical informatics, he focuses on computational approaches in complex data settings, especially electronic health records and disease surveillance, to understand infectious disease transmission. This has been demonstrated through his work with bloodborne pathogens, COVID-19, vaccine preventable diseases, and healthcare associated infections. Dr. Goldstein is well published, his work has been profiled in national and local media outlets, and he has been featured in countless interviews. More information can be found on the book website, https://www.goldsteinepi.com/books/ehr/, including errata, data, source codes, and more.
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